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Paper Citation Record · LEDGER

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.10168.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2307.10168 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:17:09.955222Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T00:45:49.273409Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 87f6520d-35c9-4fa3-8a6f-6fa7fe9c85fb · inbound

QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing cites this paper.

QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T23:17:09.955222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:17:09.955222Z digest=sha256:b2a958ad202f7ed364424133a553a9e046f0c59f75edeec6b00f39ce02a1e126

Observation c5396d42-8731-4df6-b77d-19e5e6452f68 · inbound

Quality Control in Open-Ended Crowdsourcing: A Survey cites this paper.

Quality Control in Open-Ended Crowdsourcing: A Survey LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 228

Resolution
unresolved
no resolver link, observed 2026-08-11T21:56:29.043208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:56:29.043208Z digest=sha256:ef3911eaabb20b88df42427af34327c086677c7c7981227d4bec4d4b076265d1

Observation 2a28b575-17c8-445e-acb7-c04bc0b4bef2 · inbound

Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition cites this paper.

Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-10T18:55:25.733616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:55:25.733616Z digest=sha256:f9f64a22cda33a5e3689eb16e7133960bb49b23bc8a334fe0d1e30dd6c292163

Observation 7c181d16-de27-4803-ba3a-d89493effbc5 · inbound

Linting is People! Exploring the Potential of Human Computation as a Sociotechnical Linter of Data Visualizations cites this paper.

Linting is People! Exploring the Potential of Human Computation as a Sociotechnical Linter of Data Visualizations LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-08T12:03:50.175279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:03:50.175279Z digest=sha256:7eb70715df0337cb536efcc868f4d79496d3a806beda416bf36cc71cebbe32a1

Observation d89d0167-ab84-4944-822d-e4a461a9660d · inbound

Are Large Language Models the future crowd workers of Linguistics? cites this paper.

Are Large Language Models the future crowd workers of Linguistics? LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T18:47:07.125085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:47:07.125085Z digest=sha256:1dda5767de9bf95ea87f22392d08626c709d6903037634f528d948a30b02960a

Observation e644d8a5-e352-45df-b0b7-3f20178f29d6 · inbound

Redefining Research Crowdsourcing: Incorporating Human Feedback with LLM-Powered Digital Twins cites this paper.

Redefining Research Crowdsourcing: Incorporating Human Feedback with LLM-Powered Digital Twins LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:41.459000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:41.459000Z digest=sha256:fc2d0b9291d05f2fb4bca535eab43946e298ff91d5f89a75566b331c46790d33

Observation 6bddaeeb-eefd-44b4-92d3-28ff9caf9ba1 · inbound

Dynamic Context Evolution for Scalable Synthetic Data Generation cites this paper.

Dynamic Context Evolution for Scalable Synthetic Data Generation LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:49.275191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T18:21:39.397025Z digest=sha256:bd86672963e0cd7175f3d4641da153e43fdf1c75739bebe7259e69ba9a5ed340